- 项目反应理论手册(第1卷模型)(英文)/国外优秀数学著作原版系列
- - 作者：编者:(美)维姆·J.范·德·林登|责编:刘春雷//李兰静
  - 出版社：哈尔滨工业大学
  - ISBN：9787560398174
  - 出版日期：2021/11/01
  - 页数：606
- 售价：55.2

内容大纲
本书的所有章节有一个共同的形式，即每一章都聚焦于一组模型或者模型方法，每章的“介绍部分”包含了一些模型的历史以及目的和重要性；还形象地展示了模型，对其参数进行估计，展示如何评估其与经验数据的拟合程度，通过一个经验性的例子解释模型的应用，并且讨论了其更加深远的应用及待解决的研究问题。
本书具体内容包括基本工具（离散分布、多元正态分布等）、建模问题（项目反应理论的识别、项目反应理论中的反应缺失等）、参数估计和模型拟合与比较。
作者介绍
目录
Contents for Statistical Tools
Contents for Applications
Preface
Contributors
  1. Introduction
    Wire J. van der Linden
Section Ⅰ  Dichotomous Models
  2. Unidimensional Logistic Response Models
    Wire J. van der Linden
  3. Rasch Model
    Matthias von Davier
Section Ⅱ  Nominal and Ordinal Models
  4. Nominal Categories Models
    David Thissen and Li Cai
  5. Rasch Rating-Scale Model
    David Andrich
  6. Graded Response Models
    Fumiko Samejima
  7. Partial Credit Model
    Geoff N. Masters
  8. Generalized Partial Credit Model
    Eiji Muraki and Mari Muraki
  9. Sequential Models for Ordered Responses
    Gerhard Tutz
  10. Models for Continuous Responses
    Gideon J. Mellenbergh
Section Ⅲ  Multidimensional and Multicomponent Models
  11. Normal-Ogive Multidimensional Models
    Hariharan Swaminathan and H. Jane Rogers
  12. Logistic Multidimensional Models
    Mark D. Reckase
  13. Linear Logistic Models
    Rianne Janssen
  14. Multicomponent Models
    Susan E. Embretson
Section Ⅳ Models for Response Times
  15. Poisson and Gamma Models for Reading Speed and Error
    Margo G. H. Jansen
  16. Lognormal Response-Time Model
    Wire J. van der Linden
  17. Diffusion-Based Response-Time Models
    Francis Tuerlinckx, Dylan Molenaar, and Han L. J. van der Maas
Section Ⅴ  Nonparametric Models
  18. Mokken Models
    Klaas Sijtsma and Ivo W. Molenaar
  19. Bayesian Nonparametric Response Models
    George Karabatsos
  20. Functional Approaches to Modeling Response Data
    James O. Ramsay
Section Ⅵ  Models for Nonmonotone Items

  21. Hyperbolic Cosine Model for Unfolding Responses
    David Andrich
  22. Generalized Graded Unfolding Model
    James S. Roberts
Section Ⅶ  Hierarchical Response Models
  23. Logistic Mixture-Distribution Response Models
    Matthias yon Davier and fiirgen Rost
  24. Multilevel Response Models with Covariates and Multiple Groups
    Jean-Paul Fox and Cees A. W. Glas
  25. Two-Tier Item Factor Analysis Modeling
    Li Cai
  26. Item-Family Models
    Cees A. W. Glas, Wim J. van der Linden, and Hanneke Geerlings
  27. Hierarchical Rater Models
    Jodi M. Casabianca, Brian IV. Junker, and Richard J. Patz
  28. Randomized Response Models for Sensitive Measurements
    Jean-Paul Fox
  29. Joint Hierarchical Modeling of Responses and Response Times
    Wire J. van der Linden and Jean-Paul Fox
Section Ⅷ  Generalized Modeling Approaches
  30. Generalized Linear Latent and Mixed Modeling
    Sophia Rabe-Hesketh and Anders Skrondal
  31. Multidimensional, Multilevel, and Multi-Timepoint Item Response
    Modeling
    Bengt Muthen and Tihomir Asparouhov
  32. Mixed-Coefficients Multinomial Logit Models
    Raymond J. Adams, Mark R. Wilson, and Margaret L. Wu
  33. Explanatory Response Models
    Paul De Boeck and Mark R. Wilson
Index
编辑手记

内容大纲

作者介绍

目录

同类热销排行榜

推荐书目